plotROC

Generate Useful ROC Curve Charts for Print and Interactive Use

Most ROC curve plots obscure the cutoff values and inhibit
interpretation and comparison of multiple curves. This attempts to address
those shortcomings by providing plotting and interactive tools. Functions
are provided to generate an interactive ROC curve plot for web use, and
print versions. A Shiny application implementing the functions is also
included.

Most ROC curve plots obscure the cutoff values and inhibit
interpretation and comparison of multiple curves. This attempts to address
those shortcomings by providing plotting and interactive tools. Functions
are provided to generate an interactive ROC curve plot for web use, and
print versions. An interacive Shiny application is also included.

Installation

This version of the package is not on CRAN. It also requires the development version of ggplot2. It can be installed with

Basic usage

Acknowledgements

Citation

Read the code snippet article at JSS! (Coming soon)

License

The MIT License (MIT)

Copyright (c) 2017 Michael C Sachs

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

News

plotROC 2.2.0

New features:

new cutoff.labels parameter to allow user-supplied labels for the cutoffs (thanks @rcorty)

new increasing parameter with default value TRUE. This determines whether the probability
of a D = 1 increases with increasing M, if FALSE, assumes that the probability increases with
decreasing M (for example if M is the p-value from a regression model)
Bug fixes:

Now shows shape aesthetic in legend if mapped.

plotROC 2.1.0

plotROC 2.1.0

New feature:

max.num.points argument to stat_roc (can also pass it to geom_roc()) limits the number of points that get plotted.
Note this downsamples the curve at the end of the computation, so the benefit of having a lot of data (very
precise curve) is still realized. Thanks @rcorty

plotROC 2.0.3

Bug fixes:

Conflict between alpha.line, alpha.point, size.point and the aesthetics alpha and size

plotROC 2.0.2

Fixes:

Export verify_d function

Bug fix for logical vectors passed to verify_d

plotROC 2.0.1

Bug fixes:

Style and format of labels/lines fixed, now passed correctly to ggplot functions

Reduce run time of examples

Tested with dev version of ggplot2

plotROC 2.0.0

Major changes to the API this release

calculate_roc and ggroc are deprecated

estimate and display roc curves using geom_roc

estimate and display confidence regions using geom_rocci

support for faceting and grouping

better performance and improved interactivity.

plotROC 1.3.3

Added support to ggroc method for objects as returned by ROCR::performance

Bug fix in labeling

Update d3

option to omit inclusion of d3 code

plotROC 1.3.2

Added support for new aesthetic options in plot_journal_roc and export_interactive_roc

colors

legends

line type

line width

axis labels

plotmath expressions in labels

Remove need to specify cutoff labels to plot and export. Those functions now read the data directly from the ggroc object. Easier to use this way!